Difference between revisions of "Libraries & Frameworks"
(→With pages at Primo.ai or not included in Wikipedia Deep learning comparison chart below) |
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* [http://en.wikipedia.org/wiki/MLPACK_(C%2B%2B_library) MLPACK (C++ library)] | * [http://en.wikipedia.org/wiki/MLPACK_(C%2B%2B_library) MLPACK (C++ library)] | ||
* [http://en.wikipedia.org/wiki/Accord.NET Accord.NET] | * [http://en.wikipedia.org/wiki/Accord.NET Accord.NET] | ||
| − | * [ | + | * [[Python#OpenCV| OpenCV]] Open Computer Vision - work with images and/or videos and wish to add a variety of classical and state-of-the-art vision algorithms to their toolbox. |
* [http://en.wikipedia.org/wiki/OpenCog OpenCog], a GPL-licensed framework for artificial intelligence written in C++, Python and Scheme. | * [http://en.wikipedia.org/wiki/OpenCog OpenCog], a GPL-licensed framework for artificial intelligence written in C++, Python and Scheme. | ||
* [http://en.wikipedia.org/wiki/RapidMiner RapidMiner], an environment for machine learning and [[data mining]], now developed commercially. | * [http://en.wikipedia.org/wiki/RapidMiner RapidMiner], an environment for machine learning and [[data mining]], now developed commercially. | ||
Revision as of 20:22, 30 July 2019
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- Libraries & Frameworks Overview
- Platforms: Machine Learning as a Service (MLaaS)
- Machine Translation open-source toolkits | Tsinghua Natural Language Processing Group
- Machine Learning Software | DMOZtools.net
With pages at Primo.ai or not included in Wikipedia Deep learning comparison chart below
- scikit-learn
- PyTorch
- ConvNetJS
- Accord.Net Framework
- Caffe / Caffe2
- Microsoft Cognitive Toolkit - was Cognitive Toolkit (CNTK)
- gluon
- H20
- MXNet
- Neuroph
- neon
- Deeplearning4j
- theano
- Spark MLlib
- Cloudera Oryx
- GoLearn
- Weka
- Apache Mahout
- Shogun
- MLPACK (C++ library)
- Accord.NET
- OpenCV Open Computer Vision - work with images and/or videos and wish to add a variety of classical and state-of-the-art vision algorithms to their toolbox.
- OpenCog, a GPL-licensed framework for artificial intelligence written in C++, Python and Scheme.
- RapidMiner, an environment for machine learning and data mining, now developed commercially.
- Weka, a free implementation of many machine learning algorithms in Java.